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-<meta name="description" content="Calculation routines based on the FOCUS Kinetics Report (2006,
- 2014). Includes a function for conveniently defining differential equation
- models, model solution based on eigenvalues if possible or using numerical
- solvers. If a C compiler (on windows: Rtools) is installed, differential
- equation models are solved using automatically generated C functions.
- Heteroscedasticity can be taken into account using variance by variable or
- two-component error models as described by Ranke and Meinecke (2018)
- &lt;doi:10.3390/environments6120124&gt;. Hierarchical degradation models can
- be fitted using nonlinear mixed-effects model packages as a back end as
- described by Ranke et al. (2021) &lt;doi:10.3390/environments8080071&gt;. Please
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<title>Kinetic Evaluation of Chemical Degradation Data • mkin</title>
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- 2014). Includes a function for conveniently defining differential equation
- models, model solution based on eigenvalues if possible or using numerical
- solvers. If a C compiler (on windows: Rtools) is installed, differential
- equation models are solved using automatically generated C functions.
- Heteroscedasticity can be taken into account using variance by variable or
- two-component error models as described by Ranke and Meinecke (2018)
- &lt;doi:10.3390/environments6120124&gt;. Hierarchical degradation models can
- be fitted using nonlinear mixed-effects model packages as a back end as
- described by Ranke et al. (2021) &lt;doi:10.3390/environments8080071&gt;. Please
- note that no warranty is implied for correctness of results or fitness for a
- particular purpose.">
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+<meta property="og:description" content="Calculation routines based on the FOCUS Kinetics Report (2006, 2014). Includes a function for conveniently defining differential equation models, model solution based on eigenvalues if possible or using numerical solvers. If a C compiler (on windows: Rtools) is installed, differential equation models are solved using automatically generated C functions. Heteroscedasticity can be taken into account using variance by variable or two-component error models as described by Ranke and Meinecke (2018) &lt;doi:10.3390/environments6120124&gt;. Hierarchical degradation models can be fitted using nonlinear mixed-effects model packages as a back end as described by Ranke et al. (2021) &lt;doi:10.3390/environments8080071&gt;. Please note that no warranty is implied for correctness of results or fitness for a particular purpose.">
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<div class="page-header"><h1 id="mkin">mkin<a class="anchor" aria-label="anchor" href="#mkin"></a>
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-<p><a href="https://cran.r-project.org/package=mkin" class="external-link"><img src="https://www.r-pkg.org/badges/version/mkin"></a> <a href="https://jranke.r-universe.dev/ui/#package:mkin" class="external-link"><img src="https://jranke.r-universe.dev/badges/mkin" alt="mkin status badge"></a> <a href="https://app.travis-ci.com/github/jranke/mkin" class="external-link"><img src="https://travis-ci.com/jranke/mkin.svg?branch=main" alt="Build Status"></a> <a href="https://app.codecov.io/gh/jranke/mkin" class="external-link"><img src="https://codecov.io/github/jranke/mkin/branch/main/graphs/badge.svg" alt="codecov"></a></p>
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<p>The <a href="https://www.r-project.org" class="external-link">R</a> package <strong>mkin</strong> provides calculation routines for the analysis of chemical degradation data, including <b>m</b>ulticompartment <b>kin</b>etics as needed for modelling the formation and decline of transformation products, or if several degradation compartments are involved. It provides stable functionality for kinetic evaluations according to the FOCUS guidance (see below for details). In addition, it provides functionality to do hierarchical kinetics based on nonlinear mixed-effects models.</p>
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<h2 id="installation">Installation<a class="anchor" aria-label="anchor" href="#installation"></a>
@@ -288,21 +252,19 @@ Von Götz N, Nörtersheuser P, Richter O (1999) Population based analysis of pes
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